{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Recorder example with Windows Calculator\n",
    "\n",
    "This example shows how to use the Automagica Wand functionality to easily find elements on a screen. This eliminates the tedious task of finding the techinical identifier of elements.\n",
    "\n",
    "In addition, sometimes working with the recorder is the only way to reliably find buttons and elements, for example when working with a virtualized desktop such as Citrix, TeamViewer, \n",
    "\n",
    "In this example we will automate the Windows Calculator by identifying the buttons using the Automagica Wand, clicking and finally reading the output with Automagica vision (ocr)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Starting the recorder\n",
    "\n",
    "The recorder can be opened by either pressing the Recorder button in the Automagica Lab, by running 'Automagica Wand' in a Windows console on a system with Automagica installed, or by running the following commands in a Python console:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from automagica import *\n",
    "\n",
    "recorder()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting your target\n",
    "\n",
    "The Automagica Wand relies on vision to identify elements on the screen. It uses a smart algorithm to find the best match which makes it robust to minor changes in the UI.\n",
    "\n",
    "For starters, after choosing the preferred action in the recorder you have to identify your target by dragging a box around the element. Make sure you only select the element you want to target, including irrelevant changing elements in the target could cause a mismatch."
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Anchors\n",
    "\n",
    "When your target is subject to change it is a good idea to pick an anchor. An anchor is an element that does not change in appearance and does not change in relative position to your target. \n",
    "\n",
    "For example, in browser automation when clicking on the first Google result, this result is subject to change depending on what you searched. However, there are a lot of elements that are static relative to the first result:\n",
    "\n",
    "\n",
    "![image.png](attachment:image.png)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Automating the Calculator\n",
    "\n",
    "For this example we will add 1 + 1 and read the output. \n",
    "\n",
    "Here we have already used the recorder to identify the buttons and find the elements, you can view the results at the following links:\n",
    "\n",
    "'1' button on the Calculator:\n",
    "https://automagica.id/qf41\n",
    "\n",
    "'+' button on the Calculator:\n",
    "https://automagica.id/OfJ5\n",
    "\n",
    "Result window on the Calculator:\n",
    "https://automagica.id/1HXT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Click on the '1'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make sure you imported Automagica\n",
    "from automagica import *\n",
    "\n",
    "click(\"qf41\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Click on the '+'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "click(\"Fxtq\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Click on '1' again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "click(\"qf41\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Click on '+' once more to calculate the answer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "click(\"Fxtq\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read the outcome"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "Exception",
     "evalue": "could not find the element uniquely on the screen or                     by its anchors",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mException\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-8-7b5252981e20>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mread_text\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"1HXT\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mc:\\users\\tvt\\repositories\\automagica\\automagica\\utilities.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     15\u001b[0m         \u001b[0mlogging\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Automagica (activity): {}\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     16\u001b[0m         \u001b[0mtelemetry\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 17\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     18\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     19\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\tvt\\repositories\\automagica\\automagica\\activities.py\u001b[0m in \u001b[0;36mread_text\u001b[1;34m(element_id, delay)\u001b[0m\n\u001b[0;32m  10006\u001b[0m     \u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdelay\u001b[0m\u001b[1;33m)\u001b[0m  \u001b[1;31m# Default delay\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m  10007\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m> 10008\u001b[1;33m     \u001b[0mlocation\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdetect_vision\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0melement_id\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdetect_target\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m  10009\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m  10010\u001b[0m     \u001b[0mscreenshot\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcapture_screen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\tvt\\repositories\\automagica\\automagica\\activities.py\u001b[0m in \u001b[0;36mdetect_vision\u001b[1;34m(element_id, detect_target)\u001b[0m\n\u001b[0;32m   9845\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   9846\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"error\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 9847\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"error\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   9848\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   9849\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"location\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mException\u001b[0m: could not find the element uniquely on the screen or                     by its anchors"
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